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ESR Healthcare

Lead Data Engineer Chantilly, VA ref

ESR Healthcare, Chantilly, Virginia, United States, 22021


Lead Data Engineer

Chantilly, VA ref

Skills:

Systems Engineering, Data Engineering, Python, Software Engineering, Cloudera, SQL, Oracle.

BASIC QUALIFICATIONS:

Bachelor’s degree in systems engineering, a related specialized area or field is required (or equivalent experience) plus a minimum of 8 years of relevant experience; or Master's degree plus a minimum of 6 years of relevant experience. Agile experience preferred.

CLEARANCE REQUIREMENTS:

A TS/SCI security clearance is required at time of hire with the ability to obtain a Full Scope Polygraph. Candidates must be able to obtain the Polygraph within a reasonable amount of time from date of hire. Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information. Due to the nature of work performed within our facilities, U.S. citizenship is required.

JOB DESCRIPTION:

Developing mission-critical systems that help keep people safe is what we do. As a Lead Data Engineer, you’ll lead model and simulation activities as you participate in requirements analysis and management, functional analysis, performance analysis, system design, trade studies, systems integration and test (verification).

REPRESENTATIVE DUTIES AND TASKS:

Support the Insider Threat mission by automating data integration and collection strategies.

Work closely with the data science team to ensure data cleanliness and accuracy.

Design, develop, implement and maintain data ingestion processes from various disparate datasets using StreamSets (experience with StreamSets not mandatory).

Develop processes to identify data drift and malformed records.

Develop technical documentation and standard operating procedures.

Mentor new and junior data engineers.

Lead technical tasks for small teams or projects.

KNOWLEDGE SKILLS AND ABILITIES:

Working knowledge of entity resolution systems.

Experience with message systems like Kafka.

Experience with NoSQL and/or graph databases like MongoDB or ArangoDB.

Experience with SQL, MongoDB, Oracle, Postgres.

Working experience with ETL processing.

Working experience with data workflow products like StreamSets or NiFi.

Working experience with Python RESTful API services, JDBC.

Experience with Hadoop and Hive/Impala.

Experience with Cloudera Data Science Workbench is a plus.

Understanding of pySpark.

Leadership experience.

Creative thinker.

Ability to multi-task.

Excellent understanding of data engineering concepts, principles, and theories.

MUST HAVE:

8 years of experience in systems engineering.

Experience with NoSQL and/or graph databases.

Working experience with ETL Processing / Python RESTful API Services & JDBC.

Experience with Hadoop and Hive/Impala.

Department of Defense TS/SCI Security Clearance.

NICE TO HAVE:

Creative thinking and multi-tasking.

Experience with Cloudera Data Science Workbench.

Understanding of pySpark.

Experience with StreamSets.

ADDITIONAL COMMENTS:

The perfect candidate would be a creative, multi-tasking Data Engineer with strong background and experience in working with Artificial Intelligence and Blockchain.

CLEARANCE REQUIREMENTS:

A TS/SCI security clearance with the ability to obtain a Polygraph is required at time of hire.

Pre-screen questionnaire:

Please tell us about your experience in designing, developing and implementing scalable ETL processes.

Do you have experience with message systems like Kafka?

Please tell us about your knowledge in these databases / languages: NoSQL, MongoDB, ArangoDB, SQL, Oracle & Postgres.

Department of Defense TS/SCI Security Clearance is required at time of hire. Do you have one?

What is your work authorization status?

What are your compensation expectations?

How open are you to relocating to Chantilly, VA? If you are, please include your relocation cost/assistance expectations, and your timeline for the move.

Do you have experience with Cloudera Data Science Workbench, StreamSets or NiFi? If so, please elaborate:

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